Triple
T23296537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alberto de Palacio |
E590184
|
entity |
| Predicate | collaboratedWith |
P435
|
FINISHED |
| Object | Gustave Eiffel |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Gustave Eiffel | Statement: [Alberto de Palacio, collaboratedWith, Gustave Eiffel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gustave Eiffel Context triple: [Alberto de Palacio, collaboratedWith, Gustave Eiffel]
-
A.
Gustave Eiffel
chosen
Gustave Eiffel was a French civil engineer and architect best known for designing the Eiffel Tower and contributing to the internal structure of the Statue of Liberty.
-
B.
Émile de Girardin
Émile de Girardin was a pioneering 19th-century French journalist and politician who revolutionized the press by developing mass-circulation, low-cost newspapers funded largely by advertising.
-
C.
Georges Flamant
Georges Flamant was a French actor known for his roles in mid-20th-century French cinema, including a part in François Truffaut’s classic film "The 400 Blows."
-
D.
Pierre Brunel
Pierre Brunel is a French literary scholar and editor known for his work on classical and Enlightenment texts.
-
E.
Halle Freyssinet
Halle Freyssinet is a historic Parisian railway freight hall that was transformed into Station F, one of the world’s largest startup campuses.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e25d1af9d88190a0b9b5e8fa608618 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196cfc79081909966638cec48cf60 |
completed | April 29, 2026, 5:27 a.m. |
Created at: April 17, 2026, 5:03 p.m.